Splunk for Security: SSE - Security Data Journey

This video introduces the Splunk Security Data Journey, a framework designed to guide organisations through six maturity stages of security operations using Splunk Security Essentials. Starting with Stage 1: Collection, it emphasises the importance of onboarding high-value data sources to build a strong security foundation. From there, Stage 2: Normalisation focuses on unifying data to streamline detections and improve analyst efficiency. As organisations progress to Stage 3: Expansion, additional high-fidelity data sources like Microsoft Sysmon and Carbon Black are integrated, enhancing detection capabilities and strengthening the Security Operations Centre.

The journey continues with Stage 4: Enrichment, which leverages intelligence to provide deeper context for security events, followed by Stage 5: Automation and Orchestration, enabling consistent incident tracking and automated responses. Finally, Stage 6: Advanced Detection incorporates cutting-edge techniques, such as machine learning and advanced analytics, to uncover unknown threats. This stage represents a continuous evolution to counteract emerging risks. By following this maturity model, organisations can develop robust security operations tailored to their unique needs.